{"id":27970,"date":"2025-01-22T10:38:27","date_gmt":"2025-01-22T10:38:27","guid":{"rendered":"https:\/\/www.dataiq.global\/?post_type=mec-events&#038;p=27970"},"modified":"2025-02-18T11:40:08","modified_gmt":"2025-02-18T11:40:08","slug":"accelerator-scaling-data-literacy-fluency","status":"publish","type":"mec-events","link":"https:\/\/www.dataiq.global\/devstage\/iqevents\/accelerator-scaling-data-literacy-fluency\/","title":{"rendered":"Accelerator &#8211; Scaling Data Literacy and Fluency Programmes in Large, Multinational Enterprises"},"content":{"rendered":"<p><strong>Questions to be discussed:<\/strong><\/p>\n<ul>\n<li>How do you scale data fluency efforts effectively across a very large number of employees across vast and varied disciplines?<\/li>\n<li>What engagement strategies have worked?<\/li>\n<li>How do you ensure sustainable behaviour change that goes beyond training?<\/li>\n<\/ul>\n<p><strong>Accelerator<\/strong><\/p>\n<p>These are 60-minute panel discussion type events, that allow up to 10 participants to work through a set of questions from the host participant. We curate every panel to ensure the right working group is in place to provide ideas, suggestions and perspectives towards the case.\u00a0<\/p>\n<p>In each session you can expect:<\/p>\n<ul>\n<li>Prequalified group of experts in the area<\/li>\n<\/ul>\n<ul>\n<li>A round of introductions to each participant (up to 10 people)<\/li>\n<\/ul>\n<ul>\n<li>An in-depth discussion with inputs from cross-industry participants<\/li>\n<\/ul>\n<ul>\n<li>Concrete take-aways and action plan for moving forward<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Discuss how organisations with 50,000+ employees have scaled their data literacy efforts across the entire enterprise.<\/p>\n","protected":false},"author":419,"featured_media":27980,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","tags":[1180,1284],"pillar":[],"false":[1235],"mec_speaker":[1237],"mec_sponsor":[],"class_list":["post-27970","mec-events","type-mec-events","status-publish","has-post-thumbnail","hentry","tag-conference","tag-front","mec_category-accelerator"],"acf":[],"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec-events\/27970","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec-events"}],"about":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/types\/mec-events"}],"author":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/users\/419"}],"replies":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/comments?post=27970"}],"version-history":[{"count":2,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec-events\/27970\/revisions"}],"predecessor-version":[{"id":30647,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec-events\/27970\/revisions\/30647"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media\/27980"}],"wp:attachment":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media?parent=27970"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/tags?post=27970"},{"taxonomy":"pillar","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/pillar?post=27970"},{"taxonomy":"mec_category","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/false?post=27970"},{"taxonomy":"mec_speaker","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec_speaker?post=27970"},{"taxonomy":"mec_sponsor","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec_sponsor?post=27970"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}